- Candidate must be located within commuting distance of Cincinnati**, OH****or Indianapolis, IN or** be willing to relocate to the area. This position may require travel within the US
- Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education
- At least 4 years of experience with Information Technology
- Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time
- Proven years of hands-on experience in architecting solutions on Azure, Databricks and Spark
- Proficiency in data engineering tools: Spark, Kafka, Airflow, SQL, Python
- Familiarity with vector search and semantic retrieval for retail use cases
- Expertise in data privacy and compliance in consumer-facing environments
- Good experience in end-to-end implementation of data warehouse and data marts
- Strong understanding of Data Warehousing concepts of Data Vault, Dimensional modelling, OLAP design
- Extensive experience with CI/CD platforms such as GitLab CI, GitHub Actions, Azure Pipelines, and Jenkins
- Experience designing and implementing complex solutions for distributed systems
- Experience in leading and mentoring teams
Preferred Qualifications:
- Strong understanding of retail or CPG data domains
- Experience in Relational Modeling, Dimensional Modeling and Modeling of Unstructured Data
- Familiarity with log and monitoring solutions
- Experience in utilizing development containers, unit testing/code quality review/linting - standard best practice
- Good understanding of Agile software development frameworks
- Strong communication and Analytical skills
- Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams
- Experience and desire to work in a global delivery environment
- Experience with Generative AI frameworks: OpenAI, Hugging Face, LangChain
- Knowledge of Model Context Protocol (MCP) or similar AI integration standards.
- Experience and detailed knowledge with Master Data Management, ETL, Data Quality, metadata management, data profiling, micro-batches, streaming data loads
The job entails extensive amount of travel. The job also entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face.
Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits: -
- Medical/Dental/Vision/Life Insurance
- Long-term/Short-term Disability
- Health and Dependent Care Reimbursement Accounts
- Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
- 401(k) plan and contributions dependent on salary level
- Paid holidays plus Paid Time Off